Jingkun Qu

1.7k total citations
51 papers, 1.3k citations indexed

About

Jingkun Qu is a scholar working on Molecular Biology, Oncology and Cancer Research. According to data from OpenAlex, Jingkun Qu has authored 51 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Molecular Biology, 21 papers in Oncology and 15 papers in Cancer Research. Recurrent topics in Jingkun Qu's work include Breast Cancer Treatment Studies (5 papers), Immune cells in cancer (5 papers) and HER2/EGFR in Cancer Research (4 papers). Jingkun Qu is often cited by papers focused on Breast Cancer Treatment Studies (5 papers), Immune cells in cancer (5 papers) and HER2/EGFR in Cancer Research (4 papers). Jingkun Qu collaborates with scholars based in China, United States and Taiwan. Jingkun Qu's co-authors include Xixi Zhao, Jizhao Wang, Yuchen Sun, Shuqun Zhang, Jiansheng Wang, Hui Cai, Feidi Wang, Xu Liu, Xingcong Ma and Hong Zhang and has published in prestigious journals such as Nature Communications, Cancer Research and Scientific Reports.

In The Last Decade

Jingkun Qu

48 papers receiving 1.2k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Jingkun Qu China 19 628 414 315 275 193 51 1.3k
Adriana Amaro Italy 21 669 1.1× 286 0.7× 230 0.7× 345 1.3× 113 0.6× 48 1.2k
Dong Yang China 19 503 0.8× 553 1.3× 328 1.0× 217 0.8× 249 1.3× 53 1.2k
Sven A. Lang Germany 24 928 1.5× 449 1.1× 218 0.7× 298 1.1× 174 0.9× 44 1.5k
Zhinong Jiang China 21 892 1.4× 337 0.8× 231 0.7× 425 1.5× 147 0.8× 71 1.6k
Dhiraj Kumar United States 15 735 1.2× 423 1.0× 200 0.6× 409 1.5× 98 0.5× 28 1.3k
Justyna Mikuła‐Pietrasik Poland 23 547 0.9× 359 0.9× 212 0.7× 212 0.8× 203 1.1× 62 1.4k
Martin G. Dalin Sweden 12 778 1.2× 749 1.8× 371 1.2× 361 1.3× 206 1.1× 14 1.7k
Shengzhang Lin China 15 489 0.8× 499 1.2× 354 1.1× 254 0.9× 138 0.7× 35 1.4k
Haineng Xu China 17 560 0.9× 346 0.8× 238 0.8× 220 0.8× 87 0.5× 30 1.1k

Countries citing papers authored by Jingkun Qu

Since Specialization
Citations

This map shows the geographic impact of Jingkun Qu's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Jingkun Qu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jingkun Qu more than expected).

Fields of papers citing papers by Jingkun Qu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jingkun Qu. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Jingkun Qu. The network helps show where Jingkun Qu may publish in the future.

Co-authorship network of co-authors of Jingkun Qu

This figure shows the co-authorship network connecting the top 25 collaborators of Jingkun Qu. A scholar is included among the top collaborators of Jingkun Qu based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Jingkun Qu. Jingkun Qu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Zhang, Jie, Zeyu Yang, Yu Liu, et al.. (2025). Recent Advances in Smart Linkage Strategies for Developing Drug Conjugates for Targeted Delivery. Topics in Current Chemistry. 383(2). 13–13. 4 indexed citations
2.
Li, Chaofan, Yusheng Wang, Binbin Fang, et al.. (2025). Options for postoperative radiation therapy in patients with de novo metastatic breast cancer. The Breast. 82. 104483–104483.
3.
Wang, Weiwei, Mengjie Liu, Lee Jia, et al.. (2025). The oncogenic role of TIMM8A in cancer and the mechanistic insights into the function in breast cancer cells. Scientific Reports. 15(1). 18374–18374.
4.
Li, Chaofan, Yusheng Wang, Mengjie Liu, et al.. (2024). Deep neural network provides personalized treatment recommendations for de novo metastatic breast cancer patients. Journal of Cancer. 15(20). 6668–6685. 1 indexed citations
5.
Wang, Yusheng, Jingkun Qu, Ruiping Ma, et al.. (2024). Random survival forest predicts survival in patients with metastatic laryngeal and hypopharyngeal cancer and the prognostic benefits of surgery and radiotherapy. Journal of Cancer. 16(2). 603–621. 2 indexed citations
6.
Zhang, Qingqing, Zilong Li, Junyu Zhang, et al.. (2024). Novel multi-target angiogenesis inhibitors as potential anticancer agents: Design, synthesis and preliminary activity evaluation. Bioorganic Chemistry. 145. 107211–107211. 4 indexed citations
7.
Zhang, Qingqing, Zeyu Yang, Jie Zhang, et al.. (2024). Transmembrane modification of tumor vascular targeting peptide A7R as molecular cargo delivery tool. Bioorganic Chemistry. 145. 107240–107240. 1 indexed citations
8.
Liu, Mengjie, Chaofan Li, Jingkun Qu, et al.. (2023). Baicalein enhances immune response in TNBC by inhibiting leptin expression of adipocytes. Cancer Science. 114(10). 3834–3847. 12 indexed citations
9.
Qu, Jingkun, Chaofan Li, Yusheng Wang, et al.. (2023). Prognostic Models Using Machine Learning Algorithms and Treatment Outcomes of Occult Breast Cancer Patients. Journal of Clinical Medicine. 12(9). 3097–3097. 8 indexed citations
10.
Li, Chaofan, Yusheng Wang, Mengjie Liu, Jingkun Qu, & Shuqun Zhang. (2023). High pathological grade might discourage early invasive breast cancer patients who have a pathologic complete response to neoadjuvant systemic therapy from eliminating breast surgery. International Journal of Surgery. 110(2). 1268–1270. 2 indexed citations
11.
Liu, Mengjie, Yinbin Zhang, Yusheng Wang, et al.. (2023). Novel models by machine learning to predict prognosis of breast cancer brain metastases. Journal of Translational Medicine. 21(1). 404–404. 39 indexed citations
12.
Zhao, Xixi, Mengjie Liu, Chaofan Li, et al.. (2023). High dose Vitamin C inhibits PD-L1 by ROS-pSTAT3 signal pathway and enhances T cell function in TNBC. International Immunopharmacology. 126. 111321–111321. 21 indexed citations
13.
Zhang, Lin, Jingkun Qu, Yimin Duan, et al.. (2022). EZH2 engages TGFβ signaling to promote breast cancer bone metastasis via integrin β1-FAK activation. Nature Communications. 13(1). 2543–2543. 113 indexed citations
14.
Zhao, Xixi, Yongkun Wei, Yu‐Yi Chu, et al.. (2022). Phosphorylation and Stabilization of PD-L1 by CK2 Suppresses Dendritic Cell Function. Cancer Research. 82(11). 2185–2195. 36 indexed citations
15.
Tu, Bin, Huiyuan Wang, Jingkun Qu, et al.. (2022). Inhaled heparin polysaccharide nanodecoy against SARS-CoV-2 and variants. Acta Pharmaceutica Sinica B. 12(7). 3187–3194. 18 indexed citations
16.
Liu, Xu, Li Yao, Jingkun Qu, et al.. (2021). Cancer-associated fibroblast infiltration in gastric cancer: the discrepancy in subtypes pathways and immunosuppression. Journal of Translational Medicine. 19(1). 325–325. 31 indexed citations
17.
Acharya, Sunil, Jun Yao, Ping Li, et al.. (2019). Sphingosine Kinase 1 Signaling Promotes Metastasis of Triple-Negative Breast Cancer. Cancer Research. 79(16). 4211–4226. 56 indexed citations
18.
Liu, Xu, Jingkun Qu, Jia Zhang, et al.. (2017). Prognostic role of pretreatment neutrophil to lymphocyte ratio in breast cancer patients. Medicine. 96(45). e8101–e8101. 45 indexed citations
19.
Yang, Ya, Min Li, Yan Yan, et al.. (2015). Expression of RAP1B is associated with poor prognosis and promotes an aggressive phenotype in gastric cancer. Oncology Reports. 34(5). 2385–2394. 21 indexed citations
20.
Sun, Kai, Hui Cai, Xiaoyi Duan, et al.. (2014). Aberrant expression and potential therapeutic target of lysophosphatidic acid receptor 3 in triple-negative breast cancers. Clinical and Experimental Medicine. 15(3). 371–380. 24 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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